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1 型糖尿病发病前循环 microRNAs 的基线评估可预测未来的刺激胰岛素分泌。

Baseline Assessment of Circulating MicroRNAs Near Diagnosis of Type 1 Diabetes Predicts Future Stimulated Insulin Secretion.

机构信息

Diabetes Research Institute, Leonard M. Miller School of Medicine, University of Miami, Miami, FL.

Division of Endocrinology and Metabolism, Department of Medicine, Leonard M. Miller School of Medicine, University of Miami, Miami, FL.

出版信息

Diabetes. 2021 Feb;70(2):638-651. doi: 10.2337/db20-0817. Epub 2020 Dec 4.

Abstract

Type 1 diabetes is an autoimmune disease resulting in severely impaired insulin secretion. We investigated whether circulating microRNAs (miRNAs) are associated with residual insulin secretion at diagnosis and predict the severity of its future decline. We studied 53 newly diagnosed subjects enrolled in placebo groups of TrialNet clinical trials. We measured serum levels of 2,083 miRNAs, using RNA sequencing technology, in fasting samples from the baseline visit (<100 days from diagnosis), during which residual insulin secretion was measured with a mixed meal tolerance test (MMTT). Area under the curve (AUC) C-peptide and peak C-peptide were stratified by quartiles of expression of 31 miRNAs. After adjustment for baseline C-peptide, age, BMI, and sex, baseline levels of miR-3187-3p, miR-4302, and the miRNA combination of miR-3187-3p/miR-103a-3p predicted differences in MMTT C-peptide AUC/peak levels at the 12-month visit; the combination miR-3187-3p/miR-4723-5p predicted proportions of subjects above/below the 200 pmol/L clinical trial eligibility threshold at the 12-month visit. Thus, miRNA assessment at baseline identifies associations with C-peptide and stratifies subjects for future severity of C-peptide loss after 1 year. We suggest that miRNAs may be useful in predicting future C-peptide decline for improved subject stratification in clinical trials.

摘要

1 型糖尿病是一种自身免疫性疾病,导致严重的胰岛素分泌受损。我们研究了循环 microRNAs(miRNAs)是否与诊断时的残余胰岛素分泌有关,并预测其未来下降的严重程度。我们研究了 53 名新诊断的受试者,这些受试者均参加了 TrialNet 临床试验的安慰剂组。我们使用 RNA 测序技术测量了空腹样本(诊断后<100 天)中的血清 2083 种 miRNAs 水平,在该样本中,混合餐耐量试验(MMTT)用于测量残余胰岛素分泌。AUC C-肽和峰 C-肽按 31 种 miRNA 表达的四分位数分层。在调整基线 C-肽、年龄、BMI 和性别后,miR-3187-3p、miR-4302 和 miR-3187-3p/miR-103a-3p 的 miRNA 组合的基线水平预测了 12 个月时 MMTT C-肽 AUC/峰水平的差异;miR-3187-3p/miR-4723-5p 的 miRNA 组合预测了 12 个月时超过/低于 200 pmol/L 临床试验入选标准的受试者比例。因此,基线 miRNA 评估与 C-肽相关,并对未来 1 年后 C-肽损失的严重程度进行分层。我们建议,miRNAs 可能有助于预测未来的 C-肽下降,从而改善临床试验中的受试者分层。

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